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Source: MIL-OSI Submissions

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Winner announced for 2018 Census
commuter data visualisation competition

– Media release

14 August 2020

The winner of the There and Back Again data
visualisation is Jono Cooper, Stats NZ said today.

Of the entries received, Mr Cooper’s ‘Commuter
Waka’ app was the most visually appealing and made the best use of data
to tell a story. It did a great job of showcasing the richness of 2018
Census commuter data, displaying where people travel to and from for work
and education, how they travel, and how often they travel. The entry was
practical, easy to use, and easy to interpret.

“Commuter Waka had a number of great points
which set it aside for us as the clear winner,” social and population
insights general manager Jason Attewell said.

“We loved the use of te reo Māori place
names, the clarity and quality of the app, the visually appealing colours
it uses, its use of plain English, and the way it makes the data accessible
to a range of users.”

Mr Cooper’s entry was one 53 received over
the time the competition was open.

“We were blown away by the quality and the
quantity of the entries,” Mr Attewell said.

“So much so that we want to acknowledge
four runners-up. These runners-up impressed the judges with something they
did really well — whether that be visual clarity, ease of navigation,
interesting use of the data, or something else.”

The runners-up (in no particular order) are:

  • Tim Hobbs
  • Jonathan Carr
  • Werner Pretorius
  • Robert Irwin.

“We’d also like to acknowledge our youngest
entrant, Samarth Agarwal, who is just nine years old,” Mr Attewell
said.

“Samarth did a great job with their
entry and has a great future ahead, whether it’s in data visualisation
or maybe one with Stats NZ. It’s incredibly encouraging to see someone
so young do so well.”

View the winning app at Commuter
Waka – 2018 Census data visualisation
.

The judges would like to convey their thanks
to all those who entered. The skill of applicants was clear in the calibre
of the entries received.

MIL OSI